課程進度

1. orientation

2. basics

3. k-means clustering

4. principal component analysis (PCA)

5. association rules

6. social network analysis

7. regression analysis

8. midterm presentations (1 of 2)

9. midterm presentations (2 of 2)

10. k-nearest neighbors (k-NN)

11. support vector machine (SVM)

12. decision tree

13. random forests

14. neural networks

15. text mining

16. time series

17. final presentations (1 of 2)

18. final presentations (2 of 2)